The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.
Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.
|Linking external business data to ONS business data||
The UK Data Service is able to assist researchers wishing to link external business data to ONS business data in the Secure Lab. This guide provides all the information needed to guide users wishing to link external business data to ONS business data.
|Teaching resource: Britain by Numbers||
This resource is designed for teachers to get students to think about data and numbers, teach them how to interpret, analyse and visualise data. This will be done by answering questions such as what proportion of the British public opposes capital punishment, how have attitudes about gender roles changed over the last 30 years and how have levels of crime changed in the last few decades.
|ARDC Training Materials Metadata Checklist v1.1||
The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials.
Guide designed to be used as a resource for encouraging better data management and research integrity in undergraduate dissertations, and is aimed at RDM trainers and teachers supervising research projects and students undertaking them. The resource consists of a number of practical templates and exemplars, and a link to the slides for teaching is also included. These can be adapted and modified to suit various project needs and different disciplines.
|Standardization Survival Kit - PARTHENOS Project||
The Standardization Survival Kit (SSK) is designed to support researchers in selecting and using the appropriate standards for their particular disciplines and work flows. The SSK is an online tool which focuses on giving researchers access to standards in a meaningful way by using research scenarios which cover all the domains of the Humanities, from literature to heritage science, including history, social sciences, linguistics, etc.
|H2020 OpenAIRE Fact sheets||
In an effort to make open access for publications and data simple for everyone, OpenAIRE is creating factsheets with a brief overview of how to comply with H2020 OA mandates and how to use OpenAIRE services where available.
|Data Management Best Practices in the Humanities||
A Zotero library dedicated to the Research Data Management in the humanities.
|Open Data for Humanists, A Pragmatic Guide||
This resource is a guide that proposes a different approach to data management. It aims at giving practical advice for arts and humanities scholars who are willing to take their first steps in research data management but don't know where to begin. Our approach to data management views it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open and how and how small changes across three points in your research workflow can make big differences.
|Research Data Management: more than just storage||
Overview of possible costs per activity within each phase of the research process. The format has to be useful not only for researchers, data specialists, but also for funding applicants and funding bodies. An early start for certain activities within the data life cycle (like for instance metadata specification) will lower the costs for data management in the run of the life cycle. A good data management plan before gathering the research data also helps to prevent extra efforts and costs later on in the research cycle.
|Guidelines for the archiving of academic research for faculties of Behavioural and Social Sciences in the Netherlands||
These guidelines for the archiving of academic research set out the preconditions for the archiving of data, materials and information that form the basis for publications – in other words, descriptions of data, materials and information that are needed in order to replicate research results, as well as their storage. These guidelines relate to the data, materials and information with respect to publications that appear in their definitive form as of 1 June 2018. The guidelines are based on the principle of retroactive accountability, i.e. reporting after a publication has appeared. The principle behind these guidelines is that each researcher is responsible for archiving data, materials and information, and the publications based on them, in a responsible and transparent way. In situations where this document does not provide clear-cut rules, researchers are expected to act in the spirit of these guidelines rather than observing them to the letter